DatriseAI-first ETL

Buildertrend to Neon Integration

AI-first ETL from Buildertrend into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads Buildertrend into Neon

Datrise syncs Buildertrend's jobs, estimates, change orders, selections, daily logs, and subcontractors into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Buildertrend: Construction project management for builders and remodelers.

Neon: Serverless Postgres destination with branching and autoscaling.

How Buildertrend entities map to Neon

Buildertrend entityNeon objectNotes
jobsbuildertrend_jobsid PK · custom fields → jsonb columns
estimatesbuildertrend_estimatesid PK · linked to buildertrend_jobs
change ordersbuildertrend_change_orderstimestamptz events
selectionsbuildertrend_selectionsid PK · linked to buildertrend_jobs

FAQ

How does Datrise handle Buildertrend's custom fields in Neon?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.

How does the Buildertrend to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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